PENGGUNAAN METODE MULTIPLE LINEAR REGRESSION UNTUK MEMPREDIKSI PATHLOSS PADA KOMUNIKASI 4G LTE DI KOTA PALEMBANG

ANANDRI, MUHAMMAD PANCA and Stiawan, Deris and Heryanto, Ahmad (2021) PENGGUNAAN METODE MULTIPLE LINEAR REGRESSION UNTUK MEMPREDIKSI PATHLOSS PADA KOMUNIKASI 4G LTE DI KOTA PALEMBANG. Undergraduate thesis, Sriwijaya University.

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Abstract

Radio Propagation is a wireless delivery of information and data through electromagnetic waves between two antennas. The electromagnetic waves will face a certain hindrance in a form of signal level reduction caused by certain factors such as environmental condition interferences which are the amount of objects between antennas, the shape of the terrain, and an occurrence of diffraction, reflection, refraction, called Pathloss. In this research a prediction with the highest accuracy posibbly achieved will be done to an acquired data about Pathloss to hit the maimum efficiency in telecommunication planning. The Method Multiple Linear Regression is going to be used towards the acquired data which is obtained by doing drive test to certain areas in Palembang city using the Trans Musi Route on 4G LTE Networks.. The prediction will be continued with comparisons between different distributions of training data and testing data. The first ratio which is of the most importance is 70:30, in which then will be compared to the ratios 80:20 and 90:10. The Accuracy achieved will be given validation parameters to check the genuinity with certain. The best results achieved occurred in the 70:30 ratio with the accuracy of 97,676%, accompanied with the R2 Score of 97,63%, MAE of 1,39,MSE of 4,657, and RMSE of 2,158.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Pathloss, gelombang elektromagnetik, Multiple Linear Regression, parameter validasi.
Subjects: T Technology > T Technology (General) > T10.5-11.9 Communication of technical information
Divisions: 09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User: Mr. Muhammad Panca Anandri
Date Deposited: 22 Dec 2021 06:17
Last Modified: 22 Dec 2021 06:17
URI: http://repository.unsri.ac.id/id/eprint/59432

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